AI-Powered Threat Detection and Mitigation
摘要
In the evolving landscape of supply chain security, AI-powered threat detection and response systems can enhance efficiency, predictability, and adaptability. AI leverages machine learning to continuously monitor data sources, identify anomalies, and initiate appropriate response actions. Key advantages include the ability to learn and adapt, correlate data from multiple sources, and enable predictive risk assessment and mitigation. However, the integration of AI also introduces new security challenges that organizations must navigate, such as data poisoning, adversarial attacks, and model vulnerabilities. Strategies to mitigate these AI-specific risks include robust data management, adversarial training, and promoting transparency and explainability.